SCI1022 Introduction to scientific coding
Faculty of Science
SCI1022 Introduction to scientific coding is a level 1, 6-credit-point, undergraduate unit from the Faculty of Science, offered in 2027 in Semester 1 and Semester 2 at Clayton. It has no prerequisites and unlocks 1 unit, leading on to 5 units in all.
- Credit points
- 6
- Offered in 2027
- Semester 1, Semester 2
- Clayton
- Assessment
- No exam
- 3 tasks
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Requisites
Before SCI1022
No prerequisites or corequisites besides the enrolment rules below.
After SCI1022
1 unit list SCI1022 as a prerequisite or corequisite.
Enrolment rules
PROHIBITION: ENG1060, FIT1045, FIT1053; and if you are enrolled in E3007 Bachelor of Engineering (Honours) and Bachelor of Science, C2003 Bachelor of Information Technology and Bachelor of Science, S2004 Bachelor of Science and Bachelor of Computer Science, S2010 Bachelor of Applied Data Science or S3003 Bachelor of Applied Data Science Advanced (Honours) you are prohibited from enrolling in this unit.
Overview
This unit will teach the fundamental principles of the writing and development of scientific computing code through the completion of practical modules. You will initially complete a compulsory introductory module in which you will learn coding skills using Python. You will then complete a module in other languages such as R, MATLAB, Mathematica or Julia. All the modules will be taught in applied sessions using practical examples from various disciplines. All modules will cover fundamental control structures, common file systems, input and output of data, two- and three-dimensional data plotting and the interpretation of these plots.
Offerings in 2027
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Clayton | On campus, block |
| Second semester | Clayton | On campus, block |
Assessment
- Homework assignment (Group and individual assignments)Exercise50%
- Pre-class testQuiz / Test10%
- In-class assignment (Weekly computer laboratory work)Exercise40%
Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.
Learning outcomes
When you finish this unit, you should be able to:
- 1
Discuss the importance of data and simulations in science;
- 2
Identify and describe common online and local computer file systems and file types for interacting with external systems;
- 3
Demonstrate how basic control and data structures function in a range of programming languages;
- 4
Access and navigate online repositories, download source and data files from repositories;
- 5
Construct basic computer codes for data analysis and scientific modelling;
- 6
Use a variety of plotting routines to manipulate and critically assess scientific data for mathematical, physical, environmental, chemical and biological applications;
- 7
Communicate practical findings on data analysis and scientific modelling across a range of application's to different audiences.
Workload and teaching
- Applied sessions48 hours
- Seminars4 hours
- Teaching approachActive learning
- Four hours of seminars over one week;
- Two 2-hour applied sessions per week (in weeks 2-12) and
- Six hours of independent study
Active learning will occur in applied sessions.
Contacts
- Unit Coordinators
- Professor Santiago Badia
- Chief Examiners
- Professor Santiago Badia
Common questions
What are the prerequisites for SCI1022?
SCI1022 has no prerequisites, but enrolment rules apply.
What can I take after SCI1022?
SCI1022 is a prerequisite or corequisite for 1 unit, including MTH2051. Those lead on to 5 units in all.
When is SCI1022 offered?
In 2027, SCI1022 runs in Semester 1 and Semester 2 at Clayton.
Does SCI1022 have an exam?
No. SCI1022 has 3 assessment tasks and no exam.